Qwen3.8 27B (free)
FREEby Alibaba (Qwen) · qwen/qwen3.8-27b:free
Prices updated Sep 20, 2026, 12:34 AM UTC · refreshed hourly
Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be...
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Pricing
Input
Free
per 1M tokens
Output
Free
per 1M tokens
Blended (3:1)
Free
3 input : 1 output
Cache read
—
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for Qwen3.8 27B (free) (no cache-read rate published — hits billed as normal input).
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | Free | $0 | — |
| 50% | Free | $0 | −0% |
| 90% | Free | $0 | −0% |
*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates (available for OpenAI / Anthropic / Google — not flagged for this creator). Confirm on the vendor’s pricing page.
What a request costs
| Workload | Input tokens | Output tokens | Cost / request | Cost / 1K requests |
|---|---|---|---|---|
| Short chat message | 500 | 300 | $0 | $0 |
| Document summary | 8,000 | 1,000 | $0 | $0 |
| Codebase question (RAG) | 30,000 | 2,000 | $0 | $0 |
| Long-context analysis | 150,000 | 5,000 | $0 | $0 |
Performance
Intelligence Index
33.7
AA composite quality
Coding Index
68.1
Math Index
—
Agentic Index
46.5
Output speed
44 tok/s
median
Time to first token
1.25s
median
Time to first answer
46.71s
after reasoning tokens
Artificial Analysis benchmarks
| Benchmark | Score |
|---|---|
| GPQA Diamond | 90.5% |
| Humanity's Last Exam | 33.9% |
| SciCode | 46.6% |
| AA-LCR (Long Context Reasoning) | 82.0% |
| Terminal-Bench 2.1 | 79.8% |
| τ³-Bench Banking | 48.0% |
Specs
Context window
262K
tokens
Max output
236K
tokens
Input modalities
text, image, video
Tokenizer
Qwen